GCP Data Engineer
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Job Qualifications & Skills Domain - Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically: BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment. Experience with other relevant GCP services like Cloud Storage , Cloud Dataflow/Beam , or Pub/Sub -Programming & Querying: Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning. -Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow , Cloud Composer, Airflow,Dagster, or similar). -DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes. Soft Skills - Excellent communication - Team collaboration - Documentation and knowledge sharing Education Requirements Bachelor's/Master’s in Computer Science or equivalent (can be marked optional or flexible) Certifications GCP Data Engineer